The bone is a major component of the human body. Bone provides the ability to move the body. Bone fractures are common in the human body. Although external fixation is being widely used by orthopedic surgeons in treatment of bone fractures, the surgical procedure and recovery includes the possible complications which can significantly decrease the treatment’s efficiency and effectiveness. In this project we propose the improvement of a fixation device design by introducing the machine learning and deep learning technology. The Bone Regeneration Prediction and Recommendation System project represents a paradigm shift in orthopedic care. Through the integration of predictive modeling and machine learning, the system forecasts bone regeneration outcomes with maximal accuracy. Beyond predictions, the system generates personalized recommendations, to the individuals based on the patient data given to the model. Keywords: Machine Learning, Deep Learning, Recommendation system, prediction system, orthopedic